Systems Architect - Machine Data

Introduction

ASML US, LP brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ, San Jose, CA and San Diego, CA.

Job Mission

ASML and its subsidiaries, including Cymer Light Source (CLS), are critically dependent on their ability to leverage machine data from products and equipment sold and deployed at customer sites.This data, how it is processed, enriched, and consumed is essential to improve product design, performance and availability and to drive efficiencies in customer service and operations.The mission of this position is to design, update, and operate robust, reliable, and secure machine data foundation, data pipelines, and data processing applications that can scale and adapt to accommodate a broad and consistent flow of new business requirements in functionality, data volume, data processing, user consumption, etc.

Job Description

The selected candidate will be part of the ASML IT Solution Delivery Analytics US team and be responsible for the technical architecture of Cymer Light Source laser/machine data pipelines, applications and platforms, will contribute to new capability/technology assessments and pilots, and consult/support day to day operations of specific solutions within the CLS information management landscape.This hands-on system architect role also entails additional strategic and operational responsibilities to contribute to the definition of Cymer’s direction for information management, analytics, and Big Data.

ASML is a crucial player in a fast moving semiconductor industry which means change is a constant. You will work with your team to capture the constant and dynamic refinement of business priorities and data & analytics user stories. You are looked upon, and rewarded for, being able constantly switch between business value and technical implementation. Together with your team you will work constantly to drive ASML’s ambition by building a modern Data & Analytics platform and data foundation, using modern DevOps and Cloud components and leveraging the Agile mindset fully.

• Design, develop, and support robust, enterprise-grade data pipelines from external and internal data sources into on-premise and on-cloud data targets.
• Improve, automate, and strengthen existing data pipelines to improve reliability and availability.
• Contribute to the design and implementation to the innovation and improvement of the ASML data foundation.
• Strong partner in discussions with solution team system architect and other stakeholders within the internal customer departments.
• Contribute to Hadoop and Cloud competence to strengthen and improve local data engineering capabilities and capacity.
• Keep abreast with relevant literature, means and methods.
• Other duties as assigned.
• Job description subject to change at any time.

Education

• Bachelor’s degree in Computer Science or equivalent technical domain.Master’s degree preferred.
• Microsoft certifications related to solution architecture, SQL Server, and Azure.
• GCP or AWS certifications related to data management and data engineering are a plus.

Experience

• Minimum of 7 years of relevant experience with data management/engineering/processing and integration for always-on business critical systems
• Minimum of 7 years of demonstrated hands-on expertise with Microsoft SQL Server environments and data-centric applications as well as related tools
• Demonstrated expertise with developing and driving realization of data-centric application architecture and development, information policy formation, information taxonomy and modeling
• Demonstrated competence in business domain analysis, data warehousing (design and operations), and database design
• Demonstrated competence with benefits, design and management of structured and unstructured content and databases / repositories (SQL, NoSQL, HDFS/Hadoop distributions, etc.) and hands-on experience with specific products
• Working knowledge and understanding of benefits and positioning of data virtualization
• Working knowledge of data science, data mining, OLAP programming, database management and programming, business process modeling and analysis
• Working knowledge of mobile-enabled business analytics architecture and solutions
• Working knowledge of statistical computing and graphics programming languages (e.g. R, S-Plus, Python, etc.)
• Working knowledge of open source or commercial data visualization tools (e.g. Tableau, QlikView, Spotfire, etc.)
• Working knowledge of cloud-based offerings and vendor differentiation related to analytics and information processing capabilities
• Familiar with data governance principles, enterprise data modeling, and data management practices
• Proficient with cloud native services such as Google BigQuery / Azure Synapse, Databricks, Managed Kubernetes: GKE or AKS, Serverless programming, Azure Data Factory or Google Cloud Dataflow

Travel

• <10% US regional travel expected
• Occasional (annual) international travel possible

EOE AA M/F/Veteran/Disability

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